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closely with the Epidemiology Large Data Review Group, conducting advanced statistical analyses in Python, R, and Stata, and leading systematic and Bayesian meta-analyses. The role also includes weekly
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analysis using tools such as Python, MATLAB or LabVIEW. Analytical and problem-solving skills with attention to accuracy and detail. Ability to plan, organise and manage experimental work in a laboratory
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of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working knowledge of microwave techniques Experience on operating dilution refrigerators is
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independently and familiarity with recent relevant scientific literature. programming skills in at least one of the following (LabVIEW, Python, MATLAB or C++). Please ensure you read the Job Description and
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/Robotics or a closely related discipline. You will have an extensive background in coding (e.g., python, C++) and have some works published in top-tier conferences/journals. Candidate must have prior work
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welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be
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of building secure, reproducible workflows that make this process seamless for researchers and clinicians. You’ll also have a flair for coding in python and/or Laravel, problem-solving, with experience in web
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, Extensive experience in building Neural Network models and a solid foundation in mathematics. Technical proficiency in Python, C, or C++, and familiarity with Tensorflow Lite/Micro, Pytorch. Experience in
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will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous
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quantitative data analysis, including machine learning in a software such as R/Python Have a developing ability to conduct individual research work, and to disseminate results Be able to plan and organise your